Agents in plain English for developers
A practical guide to what agents are, what they are not, and how to reason about them in terms of context, tools, host loops, and runtime constraints instead of hype.
Shaping with AI
Categories
16 pages
Technical notes
Data engineering, system design, architecture
Setting up a uv-first Python workflow for Claude Code and Codex
I kept noticing coding agents drifting into `pip install`, raw `python`, and hand-edited dependency files in Python projects. So I built a small repo with reusable `CLAUDE.md` and `AGENTS.md` guidelines that push both Claude and Codex toward a consistent `uv` workflow.
Shaping with AI
Claude Code now has built-in Git worktree support
Anthropic just shipped native git worktree support in Claude Code CLI. Last week I wrote about a hub-and-spoke worktree setup for parallel AI agents --- now it's getting baked right into the tool.
Shaping with AI
How I develop multiple features at once with AI agents and git worktrees
Git worktrees let you run multiple AI agents in parallel — each on its own branch, in its own directory, without stepping on each other. Here's how I use this when I've got a few features cooking at once.
Shaping with AI
AI is a tool. Judgment is the job
Critical thinking is your most valuable asset in the age of AI-assisted development. Why judgment still matters when building with AI.
Shaping with AI